The Form Took Five Minutes. The Outcome Took Five Weeks.

A five-minute digital interaction can still end in weeks of uncertainty for the member. Super funds can close the gap by designing the service around the member’s end-to-end resolution, rather than optimising each form, call, task or SLA in isolation.

EDITOR'S NOTE: Maya is a composite persona created to illustrate a severe-financial-hardship journey. She is not a real member. The five-week wait is illustrative, not an industry average, fund benchmark or statutory processing period. The service process described is illustrative and does not represent the current operation of a particular fund.

The five-minute form

At 10.14 pm after putting the kids to bed, Maya opened her super fund's website. Illness has reduced her shifts, caring responsibilities have grown and urgent household costs are overdue. Maya believes she can get early access to part of her super on severe financial hardship grounds to help make ends meet.

The digital form on the fund’s website is clear. Maya completes and submits it. A confirmation email arrives, and five minutes after she began, the interaction is complete. Behind the scenes, her submission is delivered to a shared servicing mailbox.

Five weeks later, Maya still hasn’t received a decision and does not know whether the fund has everything it needs to make a decision. She called the contact centre multiple times and spoke with compassionate employees, but they can only see part of her journey. One person asked for information she believes she already supplied. Maya’s needs remain unresolved.

This is the interaction-outcome gap in action. A quick form fed a slow system. A caring call ended without progress, questioning the integrity of case ownership, evidence, handoffs and decision governance.

Financial hardship has a legal frame and a human context

Early access is deliberately limited because super is preserved for retirement. For many members below age 60, the severe financial hardship rules require at least 26 weeks of eligible income support, an inability to meet urgent living costs and limit a withdrawal to $10,000. Services Australia can supply or verify income support evidence, but it is up to the fund to approve the application, and it may still decline it even when that evidence is available.^1,2,3

These controls matter, as does the context in which a member encounters them. ASIC and Beyond Blue found that people experiencing financial challenges are at least twice as likely to experience mental-health challenges, and vice versa.⁴ An "early release" task may sit inside a wider period of illness, housing pressure, grief, family disruption or care.

2x People experiencing financial challenges are at least twice as likely to encounter mental health challenges, and vice versa.⁴

The design task is therefore not to make approval easier. It is to make a lawful process timely, safe, understandable and dignified, including when the answer is “NO”.

When every team succeeds but the member still waits

Most member service operations are evaluated in localised measures of progress or KPIs like form completion, call-handling time, a queue, document check, specialist decision, provider SLA or complaint closure. These measures make work manageable and accountability visible inside a system. They do not describe the member's experience in that system, nor their outcome.

Regulatory evidence shows this blind spot. AFCA received 21 percent more complaints about superannuation service in 2024-25.⁵ In a separate death-benefit review, ASIC found that none of ten trustees monitored or reported end-to-end claims-handling time. Trustee-controlled processing delays appeared in 78 percent of reviewed files and poor service in 27 percent.⁶ These are not hardship statistics, but they are telling the story of what happens to similar complex member journeys.

0 of 10 trustees in ASIC's death-benefit review monitored or reported end-to-end claims-handling time.⁶

Timeliness has legal force when dissatisfaction becomes a complaint. RG 271 generally requires a response within 45 days for most superannuation complaints.⁷ On 30 April 2026, the Federal Court found that a smaller superfund missed that timeframe for about one-third of the relevant complaints. In about 30 percent of those cases, responses took more than 100 days.⁸

These complaint timeframes do not apply to Maya’s initial hardship application. They matter because they show how delay can compound when no one owns the journey end to end. A fast digital front door cannot compensate for weak ownership behind it.

Every part of the system can succeed on its own terms while the member need remains unfulfilled.

Design the service around the complete member outcome

Every service is designed around something. A form team focuses on submission, a contact centre on the call, operations on the task and complaints on the response. Those responsibilities are necessary, but none represents the member’s complete outcome. Cognizant calls that complete outcome “the governing unit of design”: the result the fund designs around, owns and measures across the whole journey.

For Maya, that complete member outcome is a lawful, timely, safe, understandable and dignified resolution. It does not promise a favourable decision. It means the decision and the journey are managed as one service, with clear ownership, retained context, proportionate support, understandable reasons and useful next steps.

This approach reflects established outcomes-oriented standards. The Australian Government’s Digital Service Standard applies to digital government services and calls for connected services and measures that reflect user outcomes.⁹ In superannuation, APRA’s SPS 515 requires trustees to align strategy, business planning and operational improvement with member outcomes.¹⁰ “Governing unit of design” is Cognizant’s framing for translating that orientation into a practical service-design choice.

Designing around the complete member outcome does not mean one team must perform every task or one platform must replace every system. It means aligning member context, people, workflows, data, technology, service partners, work allocation, governance and measures around the same member outcome.

A shared member outcome does not require a new, single platform. It requires every part of the service to work toward the same resolution.

The practical challenge is to keep the member’s context attached to the case as work moves across teams and systems. A shared human and AI service model can coordinate the work using the fund’s existing platforms, workflows, data, controls and workforce knowledge. AI agents can apply approved rules, progress clearly defined tasks and route work to the right system or person.

Within this model, AI agents can retrieve policy and case information, check document completeness, summarise history, draft plain-language updates, monitor idle cases and coordinate routine workflow. People retain judgment and decision authority for ambiguity, vulnerability, exceptions, sensitive conversations, adverse decisions and authorised advice, while the fund remains accountable for the member outcome. Work is allocated between AI and people according to consequence, ambiguity and vulnerability. This allocation can adapt as the member’s circumstances change. For example, straightforward, lower-risk requests can be progressed by AI with human oversight at defined control points, but when new information signals vulnerability or risk, the case moves to a person with its context intact. This redistribution improves more than routine work. It gives straightforward needs a faster path while returning human time to complex cases that require care and judgment. AI should not remove the human from the service. It should remove avoidable administrative work so every member need, simple or complex, receives an appropriate response.

What changes for Maya

Maya will ultimately receive a lawful approval or decline. In the redesigned service model, Maya does not have to guess who owns the case, repeat her circumstances at each handoff or wait without a meaningful update. She receives an understandable reason, a clear next step and human support when the circumstances require it. That is what it means to design the operation and the experience as one system, with the member outcome front of mind.

The path to member focused outcome

For leaders, the practical starting point is to choose one consequential member journey, such as severe financial hardship, where delay, lost context or weak ownership can materially affect the member, and redesign it end to end.

Define the member outcome, map every team, task, handoff and system involved in delivering the member outcome, name an end-to-end owner. Establish how progress and resolution will be measured and monitored across the complete journey. Then decide which tasks AI can perform safely within approved rules and where human judgment must remain.

The fund can build on its existing platforms, workflows, data, controls and workforce knowledge. It should then test whether reducing searching, duplication, rework and status chasing releases capacity for better resolution.

It is a value hypothesis, not a guaranteed saving.

Success should therefore be measured through the member’s experience and the final outcome: time to clarity and resolution; repeat contacts; how often members must repeat their circumstances; whether they understand the decision and next step; decision quality; whether cases reach the right person at the right time; and cost per resolved outcome.

The leaders who close the interaction-outcome gap will be those who hold their service accountable for one thing above every KPI: a lawful, timely and dignified resolution the member can understand.

Questions for leadership

1. Are we measuring individual interaction success, or the complete member outcome?
2. Who owns the member outcome when the case moves between teams or service partners?
3. Where is context lost, and where does the member have to repeat it?
4. Which administrative work can AI remove without diluting judgment or accountability?
5. What evidence will prove that a combined human and AI service model has improved member outcomes, rather than shifted delay or demand elsewhere?

At Cognizant, this is the design challenge we are focused on: connecting service design, operations, data, AI and governance around member outcomes. To explore how this model could be applied and tested in your fund, contact our superannuation and AI team.

The next question is how the member outcome should shape the division of work between AI and people. In the next article, Automate the Work, Not the Accountability, we examine which tasks AI can perform, where people must lead and how the fund retains accountability across the service.

Source notes

1. Australian Government, Superannuation Industry (Supervision) Regulations 1994, compilation F2026C00541, in force 1 July 2026. View source
2. ASIC Moneysmart, When you can access your super early, updated 18 June 2026. View source
3. Services Australia, If you need evidence of severe financial hardship for early release of superannuation, updated 16 April 2024. View source
4. ASIC, ASIC commissioned research confirms relationship between money and mental health, 24 August 2022. View source
5. Australian Financial Complaints Authority, Superannuation complaints: Annual review 2024-25. View source
6. ASIC, Taking ownership of death benefits: How trustees can deliver outcomes Australians deserve, media release and Report 806, 31 March 2025. View source
7. ASIC, Regulatory Guide 271: Internal dispute resolution, issued 2 September 2021. View source
8. ASIC, Federal Court holds Telstra Super accountable for internal dispute resolution failures, 7 May 2026. View source
9. Australian Government Digital Transformation Agency, Digital Service Standard, last updated 24 July 2024. View source
10. APRA, Prudential Standard SPS 515 Strategic Planning and Member Outcomes, in force 1 July 2025. View source